Recent Advances and Integration of Automated Mineralogy for Ore Characterization
On May 1, join SGS' Tassos Grammatikopoulos at CIM 2019 as he presents Recent Advances and Integration of Automated Mineralogy for Ore Characterization in Montreal!
May 01, 2019, 07:00
May 01, 2019, 07:30
Ore deposits are complex and display a high degree of variability, arising from their inherent geological and mineralogical characteristics, which impact their beneficiation. Automated mineralogy is established as an integral part for both exploration and mineral processing in the mining industry for precious, base and strategic metals, and REE. SGS has currently employed new technological tools in automated mineralogy using the TIMA (Tescan Integrated Mineral Analyser) to characterize specific ores (i.e., Au, REE, Li, Nb). We will present new data that show the improvement of analytical capabilities, which aim to resolve complex mineralogical features, and further understand the distribution of metals, minerals, textures and potential responses during processing.
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From Rocks to Resources
Tassos Grammatikopoulos, Senior Geoscientist SGS Minerals
Tassos has over 25 years experience in the minerals industry much of it in the application of process mineralogy in metallurgical programs. He has been with SGS Lakefield Research as a senior mineralogist / geoscientist since 1997 and is responsible for interfacing with metallurgists and geologists in support of flow sheet development and design, and integration of data for a wide range of metals and commodities. He has a B.Sc. from University of Patras, Greece, a M.Sc. from Acadia University, NS, and a PhD from Queen’s University, ON in Mineralogy/Economic Geology. He is currently also an Adjunct Professor in the Department of Mining and Materials Engineering at McGill University.
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